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index.xml
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<?xml version="1.0" encoding="utf-8" standalone="yes" ?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom">
<channel>
<title>Chankyu's Website</title>
<link>https://chan8972.github.io/</link>
<atom:link href="https://chan8972.github.io/index.xml" rel="self" type="application/rss+xml" />
<description>Chankyu's Website</description>
<generator>Source Themes Academic (https://sourcethemes.com/academic/)</generator><language>en-us</language><copyright>© 2022 Chankyu Lee</copyright><lastBuildDate>Sun, 20 Mar 2022 00:00:00 +0000</lastBuildDate>
<image>
<url>https://chan8972.github.io/images/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url>
<title>Chankyu's Website</title>
<link>https://chan8972.github.io/</link>
</image>
<item>
<title>Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures</title>
<link>https://chan8972.github.io/publication/2021-arxiv/</link>
<pubDate>Sun, 20 Mar 2022 00:00:00 +0000</pubDate>
<guid>https://chan8972.github.io/publication/2021-arxiv/</guid>
<description></description>
</item>
<item>
<title>Towards Understanding the Effect of Leak in Spiking Neural Networks</title>
<link>https://chan8972.github.io/publication/2020-arxiv/</link>
<pubDate>Fri, 01 Jan 2021 00:00:00 +0000</pubDate>
<guid>https://chan8972.github.io/publication/2020-arxiv/</guid>
<description></description>
</item>
<item>
<title>Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks</title>
<link>https://chan8972.github.io/publication/2020-eccv/</link>
<pubDate>Sat, 01 Aug 2020 00:00:00 +0000</pubDate>
<guid>https://chan8972.github.io/publication/2020-eccv/</guid>
<description></description>
</item>
<item>
<title>Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures</title>
<link>https://chan8972.github.io/publication/2020-frontier/</link>
<pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate>
<guid>https://chan8972.github.io/publication/2020-frontier/</guid>
<description></description>
</item>
<item>
<title>Training Deep Spiking Convolutional Neural Networks with STDP-based Unsupervised Pre-training Followed by Supervised Fine-tuning</title>
<link>https://chan8972.github.io/publication/2018-frontier/</link>
<pubDate>Fri, 01 Jun 2018 00:00:00 +0000</pubDate>
<guid>https://chan8972.github.io/publication/2018-frontier/</guid>
<description></description>
</item>
<item>
<title>Deep Spiking Convolutional Neural Network Trained With Unsupervised Spike-Timing-Dependent Plasticity</title>
<link>https://chan8972.github.io/publication/2018-tcds/</link>
<pubDate>Tue, 01 May 2018 00:00:00 +0000</pubDate>
<guid>https://chan8972.github.io/publication/2018-tcds/</guid>
<description></description>
</item>
</channel>
</rss>